The model construction of user tariffs and network satisfaction of telecommunications operating companies
The sampling questionnaire interview method used for external evaluation of user tariffs and network satisfaction of ba-sic telecommunications operating companies usually has certain deviations due to the number of samples.However,a model is estab-lished based on the behavioral data of interaction between users and operators to achieve internal satisfaction.Measure and evaluate to better understand customer perceptions.The construction of satisfaction model based on user interaction data includes three main links:correlation analysis,weight analysis,and predictive perception.At the implementation level,data aggregation focuses on the us-er's full journey touch point data and user characteristic data.Data cleaning involves missing value processing and dimensionality;the modeling algorithm focuses on quickly identifying and judging customers with derogatory satisfaction,and automatically binning through decision trees+ Machine learning algorithm + veto indicator method to build the model.
Data aggregationData cleaningAlgorithm selectionModel verification
国家科技期刊平台
NSTL
万方数据
